Cloud Software Engineer – Observability Platform

🔥 12 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

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👻 Ghost score 19%

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ClickHouse

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

SaaS • Enterprise • Artificial Intelligence

ClickHouse is a fast and resource-efficient real-time data warehouse and open-source database that is designed to deliver superior query performance for mission-critical and time-sensitive applications. It is available as a cloud service on major platforms like AWS, GCP, and Azure, with a "Bring Your Own Cloud" option and a wide range of integrations for seamless operation within diverse tech stacks. ClickHouse excels in real-time analytics, machine learning, business intelligence, and observability, making it an ideal choice for tasks such as financial services, fraud detection, and gaming analytics. It supports developer-friendly SQL operations, offers cost-effective storage solutions, and provides an open-source alternative to traditional databases. Companies like Sony, Lyft, Cisco, GitLab, and Twilio leverage ClickHouse for its scalability, efficiency, and ease of use.

📋 Description

• Design, build, and operate distributed systems that ingest, process, and store telemetry at very high scale • Own the reliability, performance, capacity, and cost-efficiency of telemetry pipelines and storage systems • Participate in the on-call rotation and help resolve production incidents • Drive root-cause fixes through to completion • Build software and automation that eliminate repetitive operational work • Improve platform operability • Identify architectural bottlenecks and help shape the roadmap for the next stage of scale • Work closely with product, infrastructure, and service teams across ClickHouse • Contribute to architecture and design reviews • Help raise engineering quality across the team

🎯 Requirements

• 5+ years of experience building and operating production systems at scale • Strong proficiency in Go • Experience building and operating services on Kubernetes • Experience with infrastructure-as-code and GitOps tooling such as Terraform, Helm, and Argo CD • Production experience with at least one major cloud provider: AWS, GCP, or Azure • Hands-on experience with telemetry systems such as OpenTelemetry, Prometheus, Grafana, or comparable technologies • Ability to solve ambiguous production problems and make sound engineering tradeoffs • Ability to take ownership from design through operation • Comfortable debugging unfamiliar distributed systems in production • Ability to make pragmatic tradeoffs between reliability, performance, delivery speed, and cost • Clear communication in a remote, async-friendly environment

🏖️ Benefits

• Employer contributions towards healthcare • Stock options for every new team member • Flexible time off in the US • Generous time-off entitlement in other countries • USD$500 home office setup allowance for remote employees • Opportunities to engage with colleagues at company-wide offsites • Flexible, remote-friendly work environment

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